About this video

Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics.

The course starts by highlighting the learning objectives and explains the rise of AI in today’s world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement.

By the end of this course, you will have a fundamental knowledge of AI and ML.

All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1

Publication date:
December 2020
2 hours 9 minutes

About the Author

  • Idan Gabrieli

    Idan Gabrieli is an experienced solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. He has worked with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases. As part of his passion for sharing his years of experience and knowledge, he has created multiple online courses on a variety of topics while teaching thousands of students worldwide.

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